/eng7218_data-science-for-healthcare-applications_bcu-masters

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Introduction to Principles and Approaches of Data Science for Healthcare Applications

This is a Masters module from the Medical Engineering Applications for Healthcare programme at Birmingham City University.

The course primarily covers four topics:

  • Using R for reproducible research and data visualisation.

  • Open data: it’s applications and ethical considerations.

  • Data anonymisation: how to approach it and the dangers of what happens when data can be deanonymised.

  • Algorithms in healthcare: ethical considerations and case studies where things have gone wrong.

This repository will contain all lecture slides and assessment materials. But it’s currently in a very draft format.

This module is being taught for the first time September 2022. Assuming the course continues into the future each edition of the course will be given a distinct GitHub Release

Where this course fits in the R community

The R community is rich, vibrant and extremely awesome. In my own learning of R I am indebted to the free work and support provided by many individuals and groups. In building this course there are two resources I would like to particularly highlight.

Course Website

This courses uses the excellent {coursedown} package - which is a (highly) customised {blogdown} template. I’m very grateful to Bernhard Bieri for taking the time to build this template.

The colour scheme used was generated from http://colormind.io/

Andrew Heiss’ courses

Andrew Heiss has been using {blogdown} to build awesome course websites for over half a decade. His courses are brilliant both from a technical point of view and pedagogical approach. Andrew’s work is also partyl the inspiration for the {coursedown} package.

Many of the materials in this course are inspired and informed by Andrew’s work.

PsyTeachR

The PsyTeachR team at University of Glasgow have built an excellent collection of 10+ books on reproducible research methods, skills and more. I learned about PsyTeachR through Lisa DeBruine’s frequent and helpful insights through discussions on Twitter.

Many of the materials in this course are inspired and informed by the work at PsyTeachR

License

Creative Commons Licence
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.